A Monte Carlo analysis of the liquid xenon TPC as gamma ray telescope

Astronomy and Astrophysics – Astronomy

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Algorithms, Electron Scattering, Gamma Ray Telescopes, Liquefied Gases, Monte Carlo Method, Xenon, Compton Effect, Gamma Ray Astronomy, High Resolution, Pair Production, Sensitivity, Spatial Resolution, X Ray Telescopes

Scientific paper

Extensive Monte Carlo modeling of a coded aperture x ray telescope based on a high resolution liquid xenon TPC has been performed. Results on efficiency, background reduction capability and source flux sensitivity are presented. We discuss in particular the development of a reconstruction algorithm for events with multiple interaction points. From the energy and spatial information, the kinematics of Compton scattering is used to identify and reduce background events, as well as to improve the detector response in the few MeV region. Assuming a spatial resolution of 1 mm RMS and an energy resolution of 4.5 percent FWHM at 1 MeV, the algorithm is capable of reducing by an order of magnitude the background rate expected at balloon altitude, thus significantly improving the telescope sensitivity.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

A Monte Carlo analysis of the liquid xenon TPC as gamma ray telescope does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with A Monte Carlo analysis of the liquid xenon TPC as gamma ray telescope, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A Monte Carlo analysis of the liquid xenon TPC as gamma ray telescope will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1114196

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.